All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Support for PyTorch < 1.10
0.3.1 - 2021-12-12
- Version incompatibility of PySCF and H5PY
- Minor issues with walker initialization in some systems
- Minor numerical instability causing rare NaNs
0.3.0 - 2021-01-27
PauliNet
:- Mean-field Jastrow and backflow
- H2O and H4 rectangle systems
- Support for Python 3.9
PauliNet
/OmniSchNet
:- API
PauliNet
:- Separate Jastrow and backflow factories
mo_factory
, functionality replaced with a mean-field backflow- Real-space backflow
- Systems with n_up/n_down = 0
0.2.0 - 2020-08-19
- Command-line interface
PauliNet
:- Nuclear and electronic cusp corrections on by default
omni_kwargs
accepted byPauliNet()
instead offrom_hf()
- All keyword arguments to
from_hf()
are passed toPauliNet()
Sampler
:from_mf()
changed tofrom_wf()
, doesn't use PySCF object by default
0.1.1 - 2020-07-24
Rerelease of 0.1.0 with added package metadata.
0.1.0 - 2020-07-24
This is the first official release of DeepQMC.
At this moment, DeepQMC should be still considered a research code.
- Core functionality to run variational quantum Monte Carlo with Pytorch
- PauliNet, a deep neural network ansatz